It has been suggested that partial proportional odds model is appropriate as it can relax the assumption for those variables which violates the assumptions. I am just wondering whether it is possible to use 'partial proportional odds model’in Mplus?

I have not studied partial prop odds modeling, but I wouldn't be surprised if it could be done via multinomial logistic regression adding parameter constraints using Model Constraint. If you can't figure it out, please send me a reference (Hedeker?) and I will try to find time to do this.

I would be interested to know if the recent version(s) of Mplus are able to fit partial proportional odds models: I wish to model an ordinal outcome with fewer assumptions than the ordered logistic model but with more than the multinomial model.